2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
Jörn Tebbe, Christoph Zimmer, Ansgar Steland +2
Active learning of physical systems must commonly respect practical safety constraints, which restricts the exploration of the design space. Gaussian Processes (GPs) and their cali…
math.ST2022★ 2 cited
Estimation of mixed fractional stable processes using high-frequency data
Fabian Mies, Mark Podolskij
The linear fractional stable motion generalizes two prominent classes of stochastic processes, namely stable Lévy processes, and fractional Brownian motion. For this reason it may…